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New approach for evaluating form errors of engineering surfaces
Affiliation:1. Department of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, Chelyabinsk, 454080, Russia;2. Faculty of Mechanical Engineering, Opole University of Technology, 76 Proszkowska St., Opole, Poland;3. Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, 1208, Bangladesh;4. Faculty of Mechanical Engineering and Management, Poznan University of Technology, 3 Piotrowo St., 60-965, Poznan, Poland;1. School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China;2. Amperex Technology Limited, Ningde 352106, China;3. The 32th Institute of CETC, Shanghai 201800, China
Abstract:Manufactured features generally deviate in size, form and relations with respect to other features from the features desired by the designer. Designers specify certain limits for these deviations that depend on functional requirements. The specification of different form errors is dealt with by the International Organization for Standardization (ISO). ISO also specifies that an ideal geometric feature must be established from the actual measurements such that the maximum deviation between it and the actual feature concerned is the least possible value. In practice, the least squares (LS) method is sometimes used for establishing the ideal feature, as this method is based on sound mathematical principles. However, the least squares procedure does not yield a minimum value. Therefore some attempts have been made to arrive at a form error based on the minimum deviation (MD) principles. A stray peak or valley on the actual feature introduces considerable variation in the results obtained by the minimum deviation method. This paper suggests a new approach based on the minimum average deviation (MAD). In this method, the ideal feature is established by using a search technique for different geometric features such as straight lines, circles, planes, cylinders and spheres. Using simple numerical examples, the values obtained by this approach are compared with the values obtained by the least squares and minimum deviation methods.
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